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Bilingual Document Image Segmentation by shivphd1 is a document available to read on EtoBox.
What is Bilingual Document Image Segmentation about?
This document presents a method for segmenting non-text elements from bilingual office document images using U-Net architecture, achieving 99% accuracy. The authors created a dataset of 200 document images and applied various pre-processing techniques to enhance image quality before segmentation. The study emphasizes the importance of accurate segmentation in document image processing for improving information extraction and analysis.
- Author
- shivphd1
- Language
- EN